Mastering Data Analysis in Excel

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FREE,
Add a Verified Certificate for $79

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Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4708 reviews

Course Description

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big id... Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel.
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Reviews 4/10 stars
1 Review for Mastering Data Analysis in Excel

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2/10 starsCompleted
3 years, 7 months ago
Sorry that 1 star is as low as it goes. In reality, I'd give it probably .5 or less. Overall, the course was a VERY targeted complex statistics class, where the professor would do 1-2 examples during his video lecture, and then nothing else. NO readings, no practice problems, nothing besides the quiz, which was completely different than the actual examples. In addition, there was very little Excel. We received Excel workbooks pre-populated that could help us solve the problems in the quizzes, but the video instruction did not actually show you how to do this...the professor solved all the problems by hand, thus there was little to no knowledge transfer on how to actually use Excel. Finally, the single TA for the entire class was absent from the discussion board for weeks at a time. Questions literally aged for 5-10 days before being answered. Total waste of time and money. I'm glad this site exists, as Coursera does ... Sorry that 1 star is as low as it goes. In reality, I'd give it probably .5 or less. Overall, the course was a VERY targeted complex statistics class, where the professor would do 1-2 examples during his video lecture, and then nothing else. NO readings, no practice problems, nothing besides the quiz, which was completely different than the actual examples. In addition, there was very little Excel. We received Excel workbooks pre-populated that could help us solve the problems in the quizzes, but the video instruction did not actually show you how to do this...the professor solved all the problems by hand, thus there was little to no knowledge transfer on how to actually use Excel. Finally, the single TA for the entire class was absent from the discussion board for weeks at a time. Questions literally aged for 5-10 days before being answered. Total waste of time and money. I'm glad this site exists, as Coursera does not have reviews for classes on its site. Buyer beware!!
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